cs.AI（2024-08-30）

📊 共 10 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (8) 支柱二：RL算法与架构 (RL & Architecture) (1 🔗1) 支柱一：机器人控制 (Robot Control) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (8 篇)

#	题目	一句话要点	标签	🔗	⭐
1	OrthoDoc: Multimodal Large Language Model for Assisting Diagnosis in Computed Tomography	OrthoDoc：用于辅助CT诊断的多模态大语言模型，超越GPT-4。	large language model multimodal
2	Advancing Multi-talker ASR Performance with Large Language Models	提出基于LLM的SOT方法，提升多说话人语音识别性能	large language model
3	Bridging Domain Knowledge and Process Discovery Using Large Language Models	利用大语言模型桥接领域知识与流程挖掘，提升流程模型质量	large language model
4	Flexible and Effective Mixing of Large Language Models into a Mixture of Domain Experts	提出一种灵活高效的混合领域专家模型工具包，用于集成大型语言模型。	large language model
5	A methodological framework for Resilience as a Service (RaaS) in multimodal urban transportation networks	提出基于RaaS的城市多模式交通网络韧性优化模型，应对突发中断。	multimodal
6	Safety Layers in Aligned Large Language Models: The Key to LLM Security	揭示大语言模型安全层机制，提出安全偏参数微调方法SPPFT	large language model
7	"Is This It?": Towards Ecologically Valid Benchmarks for Situated Collaboration	构建生态有效的基准测试，评估多模态模型在情境协作中的能力	large language model multimodal
8	Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based Approach	对比AppStore与LLM，为特征启发式获取提供洞见，揭示各自优劣与适用场景。	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
9	Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control	提出知识驱动的残差强化学习框架，用于提升混行交通中 CAV 轨迹控制效率。	reinforcement learning model-based RL	✅

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
10	The Artificial Intelligence Act: critical overview	欧盟《人工智能法案》评述：旨在促进负责任的AI创新	manipulation

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